Understanding evaluation collections in EvalHub

Evaluation collections are versioned artifacts that define which benchmarks to run, how to weight them, and what thresholds constitute passing criteria for AI model deployment. The article uses the Leaderboard v2 system collection as a reference, demonstrating how to create custom user-scoped collections tailored to specific deployment requirements rather than relying on generic benchmark scores.